Head of Pharmaceutical Manufacturing Data

6 days ago

Slough, Slough, United Kingdom Lonza Group Ltd. Full time
Lead Data Insights for Pharmaceutical Manufacturing

Lonza Group Ltd. is seeking a seasoned data leader to drive data insights for our pharmaceutical manufacturing operations. As the Head of Pharmaceutical Manufacturing Data, you will oversee a talented team of data engineers, BI analysts, and subject matter experts to deliver data and analytics projects across the organization.

Key Responsibilities:

  • Lead and manage a team of data professionals to foster their growth and deliver high-quality data solutions.
  • Facilitate requirements engineering processes to ensure stakeholder needs are met and translated into actionable insights.
  • Act as a trusted data partner, advising stakeholders on data-driven decision-making and best practices in utilizing pharmaceutical manufacturing data.
  • Develop and maintain a global strategy for Data Historian (PI) implementation, including Data Model based on ISA95 with Asset and Event Framework.
  • Provide technical expertise and support for the maintenance and implementation of GxP solutions, with a focus on pharmaceutical manufacturing data compliance and best practices.
  • Establish effective communication channels to provide regular updates on project status and key insights to stakeholders and senior management.

Requirements:

  • Strong understanding of GxP compliance requirements and best practices in manufacturing data management.
  • Intermediate experience in a leadership role overseeing data teams and delivering data projects, preferably within the pharmaceutical manufacturing domain.
  • Minimum Bachelor's degree in data science, computer science, information management, or other relevant field.
  • Experience in the pharmaceutical manufacturing sector or closely related industries, with a strong understanding of MES, LIMS, QMS, and time series data solutions' data models and structures.
  • Extensive knowledge of Data Historian implementation, particularly with PI systems, ISA95 Data Model, Asset and Event Frameworks, and Master Data management.
  • Fluency in English required, fluency in German preferred.

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